Global Career Guide (EN)From Computer Science β†’

Data architects

Data Architects are the visionary builders of the digital age, crafting the frameworks that enable organizations to harness the power of data. In a world increasingly driven by information, their expertise ensures that data systems are efficient, scalable, and aligned with business goals, making them crucial for the success of any data-driven initiative.

65out of 100
Very High AI impact
AI exposure today: a modelled index, not a direct measurement of AI use in this job
No special protection

Human core, AI edges

AI speeds up parts of data architecture, but designing how an organisation data fits together is judgement-heavy, high-trust work that is growing, not being absorbed.

Data architects: how AI changes this job over time

Today: AI exposure, a modelled index. Later columns: a Careermash scenario, not a forecast.

Now
5 yrs
10 yrs
20 yrs
AI exposure today, then Careermash scenario
55
72%
85%
90%
THE DOOR Β· Entry difficulty today (rule of thumb)
C - hard
What this means

Today's figure is an AI exposure index, not a direct measurement of how much AI is used in this job. The later figures are a Careermash scenario, not a forecast. We do not show a forecast of how many of these jobs there will be, or how hard it will be to get in later.

What we assume in the scenario: AI keeps getting cheaper and better; robots arrive more slowly. THE DOOR shows entry difficulty today only, as a Careermash rule of thumb from A (easy) to E (extremely hard); it is not a forecast or an official statistic.

How to aim for a Data architects career

You're looking ahead at this job. By the time you join, AI will already do more of it - so aim for the part that will still need a person.

1
Build skills AI cannot copy

When you start, AI will do most of the quick, routine work. So build the parts that stay human: good judgement, working well with people, and knowing one subject deeply. School subjects like English, maths and a science you enjoy give you that base.

2
Learn to work with AI tools

The people who do well will use these tools to get real results, not fear them. Start now. Try AI tools on school projects and learn how to guide them to a good answer.

3
Aim for the deciding work

Aim for the part of a job where a person still decides what to make, checks the AI's work, and owns the result. Keep your options open too, as the same skills suit nearby jobs that AI changes less.

Not sure yet? See careers that use similar skills further down.

What pushes this score up

Data architects
65

Careers that use similar skills

Worth a look if you like the sound of this path. Each one shows how much AI affects it - greener means less.

A lower number means AI does less of the work. This job scores 65.

Sources: exposure dial - a Careermash index estimated from published AI-usage research (Anthropic labour market research, 2026); it is not a direct measurement of AI use in this job. Human necessity categories are based on OpenAI's AI Jobs Transition Framework. CareerMash maps these to UK careers and may apply UK-specific adjustments (this job is matched to O*NET "Database Architects", 15-1243.00). Scenario figures and entry difficulty are Careermash rules of thumb, not forecasts.